• Conf Proc IEEE Eng Med Biol Soc · Jan 2010

    Intraoperative multichannel audio-visual information recording and automatic surgical phase and incident detection.

    • Takashi Suzuki, Yasuo Sakurai, Kitaro Yoshimitsu, Kyojiro Nambu, Yoshihiro Muragaki, and Hiroshi Iseki.
    • Institute of Advanced Biomedical Engineering and Sciences, Tokyo Women's Medical University, 8-1, Shinjuku, 162-8666, Japan. takashi_suzuki@abmes.twmu.ac.jp
    • Conf Proc IEEE Eng Med Biol Soc. 2010 Jan 1;2010:1190-3.

    AbstractIdentification, analysis, and treatment of potential risk in surgical workflow are the key to decrease medical errors in operating room. For the automatic analysis of recorded surgical information, this study reports multichannel audio visual recording system, and its review and analysis system. Motion in operating room is quantified using video file size without motion tracking. Conversation among surgical staff is quantified using fast Fourier transformation and frequency filter without speech recognition. The results suggested the progression phase of surgical procedure.

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